Implementing Real-Time Analytics with Hadoop in Azure HDInsight

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Free Online Course: Implementing Real-Time Analytics with Hadoop in Azure HDInsight provided by edX is a comprehensive online course, which lasts for 4 weeks long, 2-3 hours a week. The course is taught in English and is free of charge. Implementing Real-Time Analytics with Hadoop in Azure HDInsight is taught by Graeme Malcolm.

Overview
  • In this four week course, you’ll learn how to implement low-latency and streaming Big Data solutions using Hadoop technologies like HBase, Storm, and Spark on Microsoft Azure HDInsight.

    Note: To complete the hands-on elements in this course, you will require an Azure subscription and a Windows, Linux, or Mac OS X client computer. You can sign up for a free Azure trial subscription (a valid credit card is required for verification, but you will not be charged for Azure services). Note that the free trial is not available in all regions. It is possible to complete the course and earn a certificate without completing the hands-on practices.

    This course is the second in a series that explores big data and advanced analytics techniques with HDInsight; and builds on the batch processing techniques learned in DAT202.1x: Processing Big Data with Hadoop in Azure HDInsight.

Syllabus
  • Module 1: Using HBase for NoSQL Data
    Module 2: Using Storm for Streaming Data
    Module 3: Using Spark for Interactive Analysis
    Module 4: Final Exam